feat: Add Startup-Research AgentKit [agentkit-challenge]

kits/agentic/founder-lens/.env.example

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+FOUNDER_LENS_ANALYZE_FLOW_ID="YOUR_ANALYZE_FLOW_ID"
+FOUNDER_LENS_CHAT_FLOW_ID="YOUR_CHAT_FLOW_ID"
+LAMATIC_API_URL="YOUR_API_ENDPOINT"
+LAMATIC_PROJECT_ID="YOUR_PROJECT_ID"
+LAMATIC_API_KEY="YOUR_API_KEY"

kits/agentic/founder-lens/.gitignore

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+node_modules/
+.next/
+.env.local
+.env
+.DS_Store
+*.log

kits/agentic/founder-lens/README.md

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+# Founder Lens — AI Startup Research Agent
+
+> Get a brutally honest investor-grade brief on your startup idea — built from real web data in ~90 seconds. Then chat with your analysis using RAG-powered persistent memory.
+
+![Built with Lamatic](https://img.shields.io/badge/Built%20with-Lamatic-5B21B6?style=flat-square)
+![Powered by Exa.ai](https://img.shields.io/badge/Powered%20by-Exa.ai-0EA5E9?style=flat-square)
+![GPT-4o](https://img.shields.io/badge/GPT--4o-OpenRouter-10B981?style=flat-square)
+![agentkit-challenge](https://img.shields.io/badge/challenge-agentkit-F59E0B?style=flat-square)
+
+---
+
+## 1. The Problem
+
+Non-technical founders spend weeks manually researching whether their idea is viable. They scour Reddit, Crunchbase, and postmortems — and still miss critical blind spots. They need an investor-grade analysis without spending thousands of dollars or hundreds of hours on manual data collection.
+
+---
+
+## 2. The Approach
+
+Founder Lens completely automates this research process in ~90 seconds using a 7-phase autonomous agent. Submit a startup idea and two Lamatic flows run in sequence:
+
+**Flow 1 — Analyze:** Deconstructs your idea into 8 targeted search queries, then fires 9 parallel Exa.ai web searches across:
+- **Market size** — TAM/SAM/SOM data
+- **VC funding signals** — Crunchbase trends and recent rounds
+- **Direct competitors** — mapping the competitive landscape
+- **Failed startup postmortems** — what already tried and died
+- **Customer complaints** — verbatim from Reddit, G2, HN, Capterra
+- **LinkedIn complaint signals** — professional pain signal mining
+- **Success stories** — IndieHackers, YC, TechCrunch breakouts
+- **Business model benchmarks** — pricing and monetization data
+- **Unfair advantage signals** — what makes winners different
+
+Then a dedicated **Contrarian VC Persona** runs a separate pass to find the fatal flaw. The synthesized result is a structured Founder Brief stored in **Weaviate vector DB** and **Lamatic semantic memory**.
+
+**Flow 2 — Chat:** The founder sends messages and the system retrieves the stored brief via RAG + semantic memory and answers questions using GPT-4o with full context of the brief and conversation history.
+
+---
+
+## 3. The Result
+
+Founder Lens saves founders immense time, reduces manual work entirely, and provides extreme clarity. It delivers the exact brief a VC analyst would write internally before taking a meeting, creating a repeatable workflow for testing new startup ideas before writing a single line of code.
+
+---
+
+## 4. Tradeoffs & Assumptions
+
+**Tradeoffs:**
+- **Speed vs. Exhaustive Depth:** We chose to run 9 highly targeted parallel searches to keep the analysis under 90 seconds. We trade off multi-hour, deeply exhaustive agentic crawling for immediate, highly actionable insights.
+- **Frictionless UX:** The chat history is maintained in Lamatic semantic memory. Because we wanted a frictionless UX, we generate a unique `userId` and `sessionId` in `localStorage` automatically instead of requiring users to create accounts and log in securely.
+
+**Assumptions:**
+- We assume the user's idea revolves around software/tech. Extremely niche physical hardware, biotech, or offline local services might not yield as much verbatim complaint data on Reddit or G2.
+- The high quality of the analysis assumes Exa.ai can successfully retrieve highly semantic, relevant forum threads and news articles based on the generated keyword queries.
+
+---
+
+## Tech Stack
+
+| Layer | Technology |
+|---|---|
+| Flow orchestration, RAG, memory | **Lamatic.ai** |
+| Neural web search (9 parallel) | **Exa.ai** |
+| Analysis synthesis & chat | **OpenRouter / GPT-4o** |
+| Idea deconstruction | **OpenRouter / Claude 3.5 Sonnet** |
+| Vector embeddings | **Gemini gemini-embedding-001** |
+| Vector database | **Weaviate** (via Lamatic) |
+| Frontend | **Next.js 14** (TypeScript, Tailwind CSS) |
+
+---
+
+## Prerequisites
+
+- Node.js 18+
+- A [Lamatic.ai](https://lamatic.ai) account with both flows deployed
+- An OpenRouter API key (configured in Lamatic as a credential)
+- A Gemini API key (configured in Lamatic as a credential)
+- **An Exa.ai API key:** You must create an account on [Exa.ai](https://exa.ai) to get an API key. Once you import the Analyze flow into Lamatic, click on each individual Exa search node. Under the Headers section, manually input your API key into the `x-api-key` field (as a key-value pair).
+
+---
+
+## Setup Instructions
+
+1. **Clone and navigate to the kit folder**
+   ```bash
+   git clone https://github.com/Lamatic/AgentKit.git
+   cd AgentKit/kits/agentic/founder-lens
+   ```
+
+2. **Install dependencies**
+   ```bash
+   npm install
+   ```
+
+3. **Set up environment variables**
+   ```bash
+   cp .env.example .env.local
+   ```
+   Then fill in `.env.local` with your real values (see table below).
+
+4. **Start the development server**
+   ```bash
+   npm run dev
+   ```
+
+5. **Open your browser**
+   ```
+   http://localhost:3000
+   ```
+
+---
+
+## Environment Variables
+
+| Variable | Description | Where to Find |
+|---|---|---|
+| `FOUNDER_LENS_ANALYZE_FLOW_ID` | Flow ID for the analysis flow | Lamatic Studio → your flow → three-dot menu → Flow ID |
+| `FOUNDER_LENS_CHAT_FLOW_ID` | Flow ID for the chat flow | Lamatic Studio → your flow → three-dot menu → Flow ID |
+| `LAMATIC_API_URL` | Your project API endpoint | Lamatic Studio → Settings → API Docs |
+| `LAMATIC_PROJECT_ID` | Your project ID | Lamatic Studio → Settings → Project |
+| `LAMATIC_API_KEY` | Your API key | Lamatic Studio → Settings → API Keys |
+
+---
+
+## Flows
+
+### Analyze Flow
+**Input:** `{ idea: string, userId: string, sessionId: string }`  
+**Output:** `{ brief: string (JSON), decomposition: string (JSON) }`
+
+Runs the full 7-phase research pipeline, synthesizes a Founder Brief JSON, and stores it in Weaviate + semantic memory.
+
+### Chat Flow
+**Input:** `{ message: string, userId: string, sessionId: string }`  
+**Output:** `{ answer: string }`
+
+Retrieves the indexed brief and conversation history from memory, then answers the founder's question with full context.
+
+> **Important:** The analyze flow must run first for a given `userId` + `sessionId` pair before the chat flow has any context to retrieve.
+
+---
+
+## Deploy to Vercel
+
+1. Push your branch to GitHub:
+   ```bash
+   git checkout -b feat/founder-lens
+   git add kits/agentic/founder-lens/
+   git commit -m "feat: Add Founder Lens - AI Startup Research Agent"
+   git push origin feat/founder-lens
+   ```
+
+2. Go to [vercel.com](https://vercel.com) and import your repo
+
+3. Set the **root directory** to `kits/agentic/founder-lens`
+
+4. Add all environment variables from the table above
+
+5. Click **Deploy**
+
+---
+
+## Contributing
+
+This kit was built for the [agentkit-challenge](https://github.com/Lamatic/AgentKit). To open a PR:
+
+```
+github.com/Lamatic/AgentKit/compare/main...YOUR-USERNAME:feat/founder-lens?expand=1
+```
+
+Add the `agentkit-challenge` label to your PR.

kits/agentic/founder-lens/actions/orchestrate.ts

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+"use server";
+
+import { lamaticClient } from "@/lib/lamatic-client";
+import { config } from "../orchestrate.js";
+
+export async function analyzeIdea(
+  idea: string,
+  userId: string,
+  sessionId: string
+): Promise<{ success: boolean; brief?: string; decomposition?: string; error?: string }> {
+  try {
+    const flow = config.flows.analyze;
+    if (!flow.workflowId) throw new Error("FOUNDER_LENS_ANALYZE_FLOW_ID is not set.");
+    const resData = await lamaticClient.executeFlow(flow.workflowId, { idea, userId, sessionId });
+    const brief = resData?.result?.brief;
+    if (!brief) throw new Error("No brief returned from analyze flow.");
+    return { success: true, brief, decomposition: resData?.result?.decomposition };
+  } catch (error) {
+    return { success: false, error: error instanceof Error ? error.message : "Unknown error" };
+  }
+}
+
+export async function chatWithBrief(
+  message: string,
+  userId: string,
+  sessionId: string
+): Promise<{ success: boolean; answer?: string; error?: string }> {
+  try {
+    const flow = config.flows.chat;
+    if (!flow.workflowId) throw new Error("FOUNDER_LENS_CHAT_FLOW_ID is not set.");
+    const resData = await lamaticClient.executeFlow(flow.workflowId, { message, userId, sessionId });
+    const answer = resData?.result?.answer;
+    if (!answer) throw new Error("No answer returned from chat flow.");
+    return { success: true, answer };
+  } catch (error) {
+    return { success: false, error: error instanceof Error ? error.message : "Unknown error" };
+  }
+}

kits/agentic/founder-lens/app/globals.css

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+@import url('https://fonts.googleapis.com/css2?family=Google+Sans:ital,opsz,wght@0,17..18,400..700;1,17..18,400..700&display=swap');
+
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+:root {
+  --background: #000000;
+  --foreground: #ffffff;
+  --border: rgba(255, 255, 255, 0.08);
+  --primary: #ffffff;
+  --primary-foreground: #000000;
+  --muted: rgba(255, 255, 255, 0.05);
+  --muted-foreground: rgba(255, 255, 255, 0.5);
+}
+
+@layer base {
+  * {
+    border-color: var(--border);
+    box-sizing: border-box;
+  }
+  body {
+    background-color: var(--background);
+    color: var(--foreground);
+    font-family: "Google Sans", sans-serif;
+    font-optical-sizing: auto;
+    font-variation-settings: "GRAD" 0;
+    -webkit-font-smoothing: antialiased;
+    -moz-osx-font-smoothing: grayscale;
+  }
+}
+
+/* --- LIQUID GLASS --- */
+
+.liquid-glass {
+  background: linear-gradient(135deg, rgba(255, 255, 255, 0.06) 0%, rgba(255, 255, 255, 0.01) 100%);
+  backdrop-filter: blur(40px) saturate(150%);
+  -webkit-backdrop-filter: blur(40px) saturate(150%);
+  border: 1px solid rgba(255, 255, 255, 0.1);
+  box-shadow:
+    0 8px 32px 0 rgba(0, 0, 0, 0.37),
+    inset 0 1px 1px 0 rgba(255, 255, 255, 0.1);
+  border-radius: 1.25rem;
+}
+
+.liquid-glass-pill {
+  background: linear-gradient(135deg, rgba(255, 255, 255, 0.1) 0%, rgba(255, 255, 255, 0.02) 100%);
+  backdrop-filter: blur(20px) saturate(120%);
+  border: 1px solid rgba(255, 255, 255, 0.12);
+  box-shadow: inset 0 1px 1px rgba(255, 255, 255, 0.15);
+  border-radius: 9999px;
+  transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1);
+}
+.liquid-glass-pill:hover {
+  background: linear-gradient(135deg, rgba(255, 255, 255, 0.15) 0%, rgba(255, 255, 255, 0.05) 100%);
+  transform: translateY(-1px);
+}
+
+.glass-panel {
+  background: rgba(255, 255, 255, 0.03);
+  backdrop-filter: blur(20px);
+  -webkit-backdrop-filter: blur(20px);
+  border: 1px solid rgba(255, 255, 255, 0.06);
+  box-shadow: 0 4px 30px rgba(0, 0, 0, 0.1);
+  border-radius: 1.5rem;
+}
+
+/* --- AURORA BG --- */
+
+.aurora-bg {
+  position: fixed;
+  top: 0; left: 0;
+  width: 100vw; height: 100vh;
+  z-index: -1;
+  overflow: hidden;
+  background-color: #000;
+}
+
+/* --- PROSE --- */
+
+.prose-sleek h1 { font-size: 1.25rem; font-weight: 500; color: #fff; margin-bottom: 0.5rem; }
+.prose-sleek h2 { font-size: 1rem; font-weight: 500; color: #fff; margin-top: 1rem; margin-bottom: 0.25rem; }
+.prose-sleek p  { font-size: 0.875rem; line-height: 1.7; color: rgba(255,255,255,0.75); }
+.prose-sleek ul { list-style: disc; padding-left: 1.25rem; color: rgba(255,255,255,0.7); }
+.prose-sleek li { font-size: 0.875rem; margin-bottom: 0.25rem; }
+.prose-sleek strong { font-weight: 600; color: #fff; }
+
+/* --- SCROLLBAR --- */
+
+.custom-scrollbar::-webkit-scrollbar { width: 6px; }
+.custom-scrollbar::-webkit-scrollbar-track { background: transparent; }
+.custom-scrollbar::-webkit-scrollbar-thumb { background: rgba(255,255,255,0.1); border-radius: 10px; }
+.custom-scrollbar::-webkit-scrollbar-thumb:hover { background: rgba(255,255,255,0.2); }
+
+/* --- CURSOR BLINK --- */
+
+.cursor-blink { animation: blink 1s step-end infinite; }
+@keyframes blink { 0%,100% { opacity: 1; } 50% { opacity: 0; } }

kits/agentic/founder-lens/app/layout.tsx

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+import type { Metadata } from "next";
+import "./globals.css";
+
+export const metadata: Metadata = {
+  title: "Founder Lens | AI Startup Research Agent",
+  description:
+    "multi-phase agentic startup research agent. Submit a startup idea and get a brutally honest investor-grade brief built from real web data.",
+};
+
+export default function RootLayout({
+  children,
+}: {
+  children: React.ReactNode;
+}) {
+  return (
+    <html lang="en" className="dark">
+      <body>{children}</body>
+    </html>
+  );
+}